Literature DB >> 25387070

Validation of the nonmotor symptoms questionnaire for Parkinson's disease: results from a Chinese pilot study.

Hui-juan Li1, Mei-fen Zhang2, Miao-xia Chen1, Ai-ling Hu1, Ji-bin Li3, Bo Zhang3,4, Wei Liu5.   

Abstract

We performed a cross-sectional study of 82 Chinese patients with Parkinson's disease (PD) enrolled during an 18-month period. We used a clinical interview to evaluate a Chinese version of the nonmotor symptoms questionnaire (NMSQuest) as an instrument for measuring the nonmotor symptoms (NMS) in Chinese patients with PD. The patients' cognitive deficit, depression/sleep, disease severity and motor status were assessed based on the mini-mental state examination (MMSE), the Hamilton depression scale (HAMD)/Parkinson's disease sleep scale (PDSS), the modified Hoehn and Yahr staging scale (H&Y) and the unified Parkinson's disease rating scale part III (UPDRS III), respectively. Thirty items distributed in nine different domains of the NMSQuest were evaluated, and the association between the NMSQuest and MMSE, H&Y, UPDRS, HAMD and PDSS was identified. Significant correlations were observed between the NMSQuest and disease duration (rs = 0.272, p = 0.013), UPDRS total score (rs = 0.444, p < 0.001), UPDRS II (rs = 0.415, p < 0.001) and UPDRS III (rs = 0.228, p = 0.039). Furthermore, the sleep disorder and mood (depression/anxiety) domain of the NMSQuest were significantly correlated with the PDSS (rs = -0.471, p < 0.001) and HAMD (rs = 0.687, p < 0.001), respectively. Our results indicate that the Chinese version of the NMSQuest, a useful screening tool, can be considered as a comprehensive, practical measure for NMS evaluation in Chinese PD patients. The NMSQuest highlights the prevalence of the wide range of NMS and indicated good responsiveness and interpretability. We strongly recommend routine use of the simplified Chinese version of NMSQuest in this country.

Entities:  

Keywords:  Parkinson's disease; nonmotor symptoms; nonmotor symptoms questionnaire; validation

Mesh:

Year:  2014        PMID: 25387070     DOI: 10.3109/00207454.2014.986573

Source DB:  PubMed          Journal:  Int J Neurosci        ISSN: 0020-7454            Impact factor:   2.292


  5 in total

1.  Adaptation and psychometric properties of the Italian version of the Non-Motor Symptoms Questionnaire for Parkinson's disease.

Authors:  I Cova; M E Di Battista; N Vanacore; C P Papi; G Alampi; A Rubino; M Valente; G Meco; P Contri; A Di Pucchio; E Lacorte; A Priori; C Mariani; S Pomati
Journal:  Neurol Sci       Date:  2017-02-01       Impact factor: 3.307

Review 2.  Ethnic Variation in the Manifestation of Parkinson's Disease: A Narrative Review.

Authors:  Aaron Ben-Joseph; Charles R Marshall; Andrew J Lees; Alastair J Noyce
Journal:  J Parkinsons Dis       Date:  2020       Impact factor: 5.568

3.  Self-Reported Visual Complaints in People with Parkinson's Disease: A Systematic Review.

Authors:  Iris van der Lijn; Gera A de Haan; Famke Huizinga; Fleur E van der Feen; A Wijnand F Rutgers; Catherina Stellingwerf; Teus van Laar; Joost Heutink
Journal:  J Parkinsons Dis       Date:  2022       Impact factor: 5.520

4.  The Impact of a Digital Artificial Intelligence System on the Monitoring and Self-management of Nonmotor Symptoms in People With Parkinson Disease: Proposal for a Phase 1 Implementation Study.

Authors:  Edward Meinert; Madison Milne-Ives; K Ray Chaudhuri; Tracey Harding; John Whipps; Susan Whipps; Camille Carroll
Journal:  JMIR Res Protoc       Date:  2022-09-26

5.  The impact of nonmotor symptoms on quality of life in patients with Parkinson's disease in Taiwan.

Authors:  Weng-Ming Liu; Ru-Jen Lin; Rwei-Ling Yu; Chun-Hwei Tai; Chin-Hsien Lin; Ruey-Meei Wu
Journal:  Neuropsychiatr Dis Treat       Date:  2015-11-11       Impact factor: 2.570

  5 in total

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